
"""simple docstring"""


import json
import os
import unittest

from transformers.models.roc_bert.tokenization_roc_bert import (
    VOCAB_FILES_NAMES,
    RoCBertBasicTokenizer,
    RoCBertTokenizer,
    RoCBertWordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english



@require_tokenizers
class 	__a	(   _lowerCAmelCase     ,  unittest.TestCase						):
       UpperCamelCase_		:       Optional[int]				=      RoCBertTokenizer
       UpperCamelCase_		:       Any				=      None
       UpperCamelCase_		:       Dict				=      False
       UpperCamelCase_		:       Tuple				=      True
       UpperCamelCase_		:       int				=      filter_non_english






       def 						_SCREAMING_SNAKE_CASE							(	self			:				Optional[Any]      )->	Dict:







              """simple docstring"""
              super().setUp()

              UpperCamelCase       			=		["[UNK]", "[CLS]", "[SEP]", "[PAD]", "[MASK]", "你", "好", "是", "谁", "a", "b", "c", "d"]
              UpperCamelCase       			=		{}
              UpperCamelCase       			=		{}
              for i, value in enumerate(UpperCAmelCase_      ):
                     UpperCamelCase       			=		i
                     UpperCamelCase       			=		i
              UpperCamelCase       			=		os.path.join(self.tmpdirname							,   VOCAB_FILES_NAMES["vocab_file"]      )
              UpperCamelCase       			=		os.path.join(self.tmpdirname							,   VOCAB_FILES_NAMES["word_shape_file"]      )
              UpperCamelCase       			=		os.path.join(self.tmpdirname							,   VOCAB_FILES_NAMES["word_pronunciation_file"]      )
              with open(self.vocab_file							,   "w"							,   encoding="utf-8"      ) as vocab_writer:
                     vocab_writer.write("".join([x + "\n" for x in vocab_tokens]      )      )
              with open(self.word_shape_file							,   "w"							,   encoding="utf-8"      ) as word_shape_writer:
                     json.dump(UpperCAmelCase_							,   UpperCAmelCase_							,   ensure_ascii=UpperCAmelCase_      )
              with open(self.word_pronunciation_file							,   "w"							,   encoding="utf-8"      ) as word_pronunciation_writer:
                     json.dump(UpperCAmelCase_							,   UpperCAmelCase_							,   ensure_ascii=UpperCAmelCase_      )






       def 						_SCREAMING_SNAKE_CASE							(	self			:				Optional[int]      )->	str:







              """simple docstring"""
              UpperCamelCase       			=		self.tokenizer_class(self.vocab_file							,   self.word_shape_file							,   self.word_pronunciation_file      )

              UpperCamelCase       			=		tokenizer.tokenize("你好[SEP]你是谁"      )
              self.assertListEqual(UpperCAmelCase_							,   ["你", "好", "[SEP]", "你", "是", "谁"]      )
              self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase_      )							,   [5, 6, 2, 5, 7, 8]      )
              self.assertListEqual(tokenizer.convert_tokens_to_shape_ids(UpperCAmelCase_      )							,   [5, 6, 2, 5, 7, 8]      )
              self.assertListEqual(tokenizer.convert_tokens_to_pronunciation_ids(UpperCAmelCase_      )							,   [5, 6, 2, 5, 7, 8]      )






       def 						_SCREAMING_SNAKE_CASE							(	self			:				Dict      )->	int:







              """simple docstring"""
              UpperCamelCase       			=		RoCBertBasicTokenizer()

              self.assertListEqual(tokenizer.tokenize("ah\u535A\u63A8zz"      )							,   ["ah", "\u535A", "\u63A8", "zz"]      )






       def 						_SCREAMING_SNAKE_CASE							(	self			:				Any      )->	Tuple:







              """simple docstring"""
              UpperCamelCase       			=		RoCBertBasicTokenizer(do_lower_case=UpperCAmelCase_      )

              self.assertListEqual(
                  tokenizer.tokenize(" \tHeLLo!how  \n Are yoU?  "      )							,   ["hello", "!", "how", "are", "you", "?"]      )
              self.assertListEqual(tokenizer.tokenize("H\u00E9llo"      )							,   ["hello"]      )






       def 						_SCREAMING_SNAKE_CASE							(	self			:				Dict      )->	int:







              """simple docstring"""
              UpperCamelCase       			=		RoCBertBasicTokenizer(do_lower_case=UpperCAmelCase_							,   strip_accents=UpperCAmelCase_      )

              self.assertListEqual(
                  tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "      )							,   ["hällo", "!", "how", "are", "you", "?"]      )
              self.assertListEqual(tokenizer.tokenize("H\u00E9llo"      )							,   ["h\u00E9llo"]      )






       def 						_SCREAMING_SNAKE_CASE							(	self			:				Dict      )->	List[str]:







              """simple docstring"""
              UpperCamelCase       			=		RoCBertBasicTokenizer(do_lower_case=UpperCAmelCase_							,   strip_accents=UpperCAmelCase_      )

              self.assertListEqual(
                  tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "      )							,   ["hallo", "!", "how", "are", "you", "?"]      )
              self.assertListEqual(tokenizer.tokenize("H\u00E9llo"      )							,   ["hello"]      )






       def 						_SCREAMING_SNAKE_CASE							(	self			:				List[str]      )->	Optional[Any]:







              """simple docstring"""
              UpperCamelCase       			=		RoCBertBasicTokenizer(do_lower_case=UpperCAmelCase_      )

              self.assertListEqual(
                  tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "      )							,   ["hallo", "!", "how", "are", "you", "?"]      )
              self.assertListEqual(tokenizer.tokenize("H\u00E9llo"      )							,   ["hello"]      )






       def 						_SCREAMING_SNAKE_CASE							(	self			:				Optional[int]      )->	str:







              """simple docstring"""
              UpperCamelCase       			=		RoCBertBasicTokenizer(do_lower_case=UpperCAmelCase_      )

              self.assertListEqual(
                  tokenizer.tokenize(" \tHeLLo!how  \n Are yoU?  "      )							,   ["HeLLo", "!", "how", "Are", "yoU", "?"]      )






       def 						_SCREAMING_SNAKE_CASE							(	self			:				Optional[int]      )->	int:







              """simple docstring"""
              UpperCamelCase       			=		RoCBertBasicTokenizer(do_lower_case=UpperCAmelCase_							,   strip_accents=UpperCAmelCase_      )

              self.assertListEqual(
                  tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "      )							,   ["HäLLo", "!", "how", "Are", "yoU", "?"]      )






       def 						_SCREAMING_SNAKE_CASE							(	self			:				str      )->	Tuple:







              """simple docstring"""
              UpperCamelCase       			=		RoCBertBasicTokenizer(do_lower_case=UpperCAmelCase_							,   strip_accents=UpperCAmelCase_      )

              self.assertListEqual(
                  tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "      )							,   ["HaLLo", "!", "how", "Are", "yoU", "?"]      )






       def 						_SCREAMING_SNAKE_CASE							(	self			:				Any      )->	Optional[Any]:







              """simple docstring"""
              UpperCamelCase       			=		RoCBertBasicTokenizer(do_lower_case=UpperCAmelCase_							,   never_split=["[UNK]"]      )

              self.assertListEqual(
                  tokenizer.tokenize(" \tHeLLo!how  \n Are yoU? [UNK]"      )							,   ["HeLLo", "!", "how", "Are", "yoU", "?", "[UNK]"]      )






       def 						_SCREAMING_SNAKE_CASE							(	self			:				List[Any]      )->	Any:







              """simple docstring"""
              UpperCamelCase       			=		["[UNK]", "[CLS]", "[SEP]", "want", "##want", "##ed", "wa", "un", "runn", "##ing"]

              UpperCamelCase       			=		{}
              for i, token in enumerate(UpperCAmelCase_      ):
                     UpperCamelCase       			=		i
              UpperCamelCase       			=		RoCBertWordpieceTokenizer(vocab=UpperCAmelCase_							,   unk_token="[UNK]"      )

              self.assertListEqual(tokenizer.tokenize(""      )							,   []      )

              self.assertListEqual(tokenizer.tokenize("unwanted running"      )							,   ["un", "##want", "##ed", "runn", "##ing"]      )

              self.assertListEqual(tokenizer.tokenize("unwantedX running"      )							,   ["[UNK]", "runn", "##ing"]      )






       def 						_SCREAMING_SNAKE_CASE							(	self			:				Dict      )->	Dict:







              """simple docstring"""
              self.assertTrue(_is_whitespace(" "      )      )
              self.assertTrue(_is_whitespace("\t"      )      )
              self.assertTrue(_is_whitespace("\r"      )      )
              self.assertTrue(_is_whitespace("\n"      )      )
              self.assertTrue(_is_whitespace("\u00A0"      )      )

              self.assertFalse(_is_whitespace("A"      )      )
              self.assertFalse(_is_whitespace("-"      )      )






       def 						_SCREAMING_SNAKE_CASE							(	self			:				str      )->	List[str]:







              """simple docstring"""
              self.assertTrue(_is_control("\u0005"      )      )

              self.assertFalse(_is_control("A"      )      )
              self.assertFalse(_is_control(" "      )      )
              self.assertFalse(_is_control("\t"      )      )
              self.assertFalse(_is_control("\r"      )      )






       def 						_SCREAMING_SNAKE_CASE							(	self			:				Union[str, Any]      )->	Dict:







              """simple docstring"""
              self.assertTrue(_is_punctuation("-"      )      )
              self.assertTrue(_is_punctuation("$"      )      )
              self.assertTrue(_is_punctuation("`"      )      )
              self.assertTrue(_is_punctuation("."      )      )

              self.assertFalse(_is_punctuation("A"      )      )
              self.assertFalse(_is_punctuation(" "      )      )






       def 						_SCREAMING_SNAKE_CASE							(	self			:				str      )->	Dict:







              """simple docstring"""
              UpperCamelCase       			=		self.get_tokenizer()

              # Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
              self.assertListEqual([tokenizer.tokenize(UpperCAmelCase_      ) for t in ["Test", "\xad", "test"]]							,   [["[UNK]"], [], ["[UNK]"]]      )

              if self.test_rust_tokenizer:
                     UpperCamelCase       			=		self.get_rust_tokenizer()
                     self.assertListEqual(
                         [rust_tokenizer.tokenize(UpperCAmelCase_      ) for t in ["Test", "\xad", "test"]]							,   [["[UNK]"], [], ["[UNK]"]]      )






       def 						_SCREAMING_SNAKE_CASE							(	self			:				int      )->	str:







              """simple docstring"""
              for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                     with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"      ):
                            UpperCamelCase       			=		self.rust_tokenizer_class.from_pretrained(UpperCAmelCase_							,   **UpperCAmelCase_      )

                            UpperCamelCase       			=		f"A, naïve {tokenizer_r.mask_token} AllenNLP sentence."
                            UpperCamelCase       			=		tokenizer_r.encode_plus(
                                UpperCAmelCase_							,   return_attention_mask=UpperCAmelCase_							,   return_token_type_ids=UpperCAmelCase_							,   return_offsets_mapping=UpperCAmelCase_							,   add_special_tokens=UpperCAmelCase_							,   )

                            UpperCamelCase       			=		tokenizer_r.do_lower_case if hasattr(UpperCAmelCase_							,   "do_lower_case"      ) else False
                            UpperCamelCase       			=		(
                                [
                                    ((0, 0), tokenizer_r.cls_token),
                                    ((0, 1), "A"),
                                    ((1, 2), ","),
                                    ((3, 5), "na"),
                                    ((5, 6), "##ï"),
                                    ((6, 8), "##ve"),
                                    ((9, 15), tokenizer_r.mask_token),
                                    ((16, 21), "Allen"),
                                    ((21, 23), "##NL"),
                                    ((23, 24), "##P"),
                                    ((25, 33), "sentence"),
                                    ((33, 34), "."),
                                    ((0, 0), tokenizer_r.sep_token),
                                ]
                                if not do_lower_case
                                else [
                                    ((0, 0), tokenizer_r.cls_token),
                                    ((0, 1), "a"),
                                    ((1, 2), ","),
                                    ((3, 8), "naive"),
                                    ((9, 15), tokenizer_r.mask_token),
                                    ((16, 21), "allen"),
                                    ((21, 23), "##nl"),
                                    ((23, 24), "##p"),
                                    ((25, 33), "sentence"),
                                    ((33, 34), "."),
                                    ((0, 0), tokenizer_r.sep_token),
                                ]
                            )

                            self.assertEqual(
                                [e[1] for e in expected_results]							,   tokenizer_r.convert_ids_to_tokens(tokens["input_ids"]      )      )
                            self.assertEqual([e[0] for e in expected_results]							,   tokens["offset_mapping"]      )






       def 						_SCREAMING_SNAKE_CASE							(	self			:				List[str]      )->	Tuple:







              """simple docstring"""
              UpperCamelCase       			=		["的", "人", "有"]
              UpperCamelCase       			=		"".join(UpperCAmelCase_      )
              for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                     with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"      ):
                            UpperCamelCase       			=		True
                            UpperCamelCase       			=		self.tokenizer_class.from_pretrained(UpperCAmelCase_							,   **UpperCAmelCase_      )
                            UpperCamelCase       			=		self.rust_tokenizer_class.from_pretrained(UpperCAmelCase_							,   **UpperCAmelCase_      )

                            UpperCamelCase       			=		tokenizer_p.encode(UpperCAmelCase_							,   add_special_tokens=UpperCAmelCase_      )
                            UpperCamelCase       			=		tokenizer_r.encode(UpperCAmelCase_							,   add_special_tokens=UpperCAmelCase_      )

                            UpperCamelCase       			=		tokenizer_r.convert_ids_to_tokens(UpperCAmelCase_      )
                            UpperCamelCase       			=		tokenizer_p.convert_ids_to_tokens(UpperCAmelCase_      )

                            # it is expected that each Chinese character is not preceded by "##"
                            self.assertListEqual(UpperCAmelCase_							,   UpperCAmelCase_      )
                            self.assertListEqual(UpperCAmelCase_							,   UpperCAmelCase_      )

                            UpperCamelCase       			=		False
                            UpperCamelCase       			=		self.rust_tokenizer_class.from_pretrained(UpperCAmelCase_							,   **UpperCAmelCase_      )
                            UpperCamelCase       			=		self.tokenizer_class.from_pretrained(UpperCAmelCase_							,   **UpperCAmelCase_      )

                            UpperCamelCase       			=		tokenizer_r.encode(UpperCAmelCase_							,   add_special_tokens=UpperCAmelCase_      )
                            UpperCamelCase       			=		tokenizer_p.encode(UpperCAmelCase_							,   add_special_tokens=UpperCAmelCase_      )

                            UpperCamelCase       			=		tokenizer_r.convert_ids_to_tokens(UpperCAmelCase_      )
                            UpperCamelCase       			=		tokenizer_p.convert_ids_to_tokens(UpperCAmelCase_      )

                            # it is expected that only the first Chinese character is not preceded by "##".
                            UpperCamelCase       			=		[
                                f"##{token}" if idx != 0 else token for idx, token in enumerate(UpperCAmelCase_      )
                            ]
                            self.assertListEqual(UpperCAmelCase_							,   UpperCAmelCase_      )
                            self.assertListEqual(UpperCAmelCase_							,   UpperCAmelCase_      )






       @slow
       def 						_SCREAMING_SNAKE_CASE							(	self			:				Optional[Any]      )->	Any:







              """simple docstring"""
              UpperCamelCase       			=		self.tokenizer_class(self.vocab_file							,   self.word_shape_file							,   self.word_pronunciation_file      )

              UpperCamelCase       			=		tokenizer.encode("你好"							,   add_special_tokens=UpperCAmelCase_      )
              UpperCamelCase       			=		tokenizer.encode("你是谁"							,   add_special_tokens=UpperCAmelCase_      )

              UpperCamelCase       			=		tokenizer.build_inputs_with_special_tokens(UpperCAmelCase_      )
              UpperCamelCase       			=		tokenizer.build_inputs_with_special_tokens(UpperCAmelCase_							,   UpperCAmelCase_      )

              assert encoded_sentence == [1] + text + [2]
              assert encoded_pair == [1] + text + [2] + text_a + [2]






       def 						_SCREAMING_SNAKE_CASE							(	self			:				int      )->	Tuple:







              """simple docstring"""
              UpperCamelCase       			=		self.get_tokenizers(do_lower_case=UpperCAmelCase_      )
              for tokenizer in tokenizers:
                     with self.subTest(f"{tokenizer.__class__.__name__}"      ):
                            UpperCamelCase       			=		"你好，你是谁"
                            UpperCamelCase       			=		tokenizer.tokenize(UpperCAmelCase_      )
                            UpperCamelCase       			=		tokenizer.convert_tokens_to_ids(UpperCAmelCase_      )
                            UpperCamelCase       			=		tokenizer.convert_tokens_to_shape_ids(UpperCAmelCase_      )
                            UpperCamelCase       			=		tokenizer.convert_tokens_to_pronunciation_ids(UpperCAmelCase_      )
                            UpperCamelCase       			=		tokenizer.prepare_for_model(
                                UpperCAmelCase_							,   UpperCAmelCase_							,   UpperCAmelCase_							,   add_special_tokens=UpperCAmelCase_      )

                            UpperCamelCase       			=		tokenizer.encode_plus(UpperCAmelCase_							,   add_special_tokens=UpperCAmelCase_      )

                            self.assertEqual(UpperCAmelCase_							,   UpperCAmelCase_      )







"""simple docstring"""


def 						lowerCamelCase__      (				UpperCAmelCase_ = 60_08_51_47_51_43					)->				int:







       """simple docstring"""

       try:
              UpperCamelCase       			=		int(UpperCAmelCase_					)
       except (TypeError, ValueError):
              raise TypeError("Parameter n must be int or castable to int."					)
       if n <= 0:
              raise ValueError("Parameter n must be greater than or equal to one."					)
       UpperCamelCase       			=		2
       UpperCamelCase       			=		0
       if n == 2:
              return 2
       while n > 2:
              while n % i != 0:
                     i += 1
              UpperCamelCase       			=		i
              while n % i == 0:
                     UpperCamelCase       			=		n // i
              i += 1
       return int(UpperCAmelCase_					)


if __name__ == "__main__":
      print(F'''{solution() = }''')





